The Complete NumPy course For Data Science Hands-on NumPy (Updated)

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The Complete NumPy course For Data Science : Hands-on NumPy (Updated)
Video: .mp4 (1280x720, 30 fps(r)) | Audio: aac, 44100 Hz, 2ch | Size: 933 MB
Genre: eLearning Video | Duration: 29 lectures (3 hour) | Language: English
Learn first step towards Data Science with all important concept of Numerical Python NumPy in Python For Data Science.

What you'll learn

    You will learn Numpy - Numerical Python Library
    Apply Filter on Image with Numpy Operation
    Convert RGB to Grayscale to Binarize image with Numpy
    Apply OneHot encoding technique with Basic Numpy Functions
    Different Numpy function applied as Matrix/Array Operations

Requirements

    Basics of Python Language

Description

It's difficult to describe everything around us with just one number. The world is multidimensional. The data we are consuming, product we use on daily basis, from non living organism to living organism require many feature to fully characterise and quantify it.

So if you want to learn about fastest python based numerical multi dimensional data processing framework, which is the foundation for many data science package like pandas for data analysis, sklearn scikit-learn for machine learning algorithm, you are at right place.

This course introduce with all majority of concept of NumPy - numerical python library.

I will teach from what and why of NumPy to all important concept of N dimension data processing.

This course covers following topics.

    Why and What NumPy is

    NumPy installation

    Creating NumPy array

    Array indexing and slicing

    Array manipulation

    Mathematical & statistical function

    Linear algebra function

    How to persist NumPy array

    Numpy practical application on Images

    RGB Image to Gray scale conversion

    Apply average and edge detection filter on images

See you inside course.

Happy learning

Ankit Mistry

Who this course is for:

    Any Python Developer who is curious about Data Science
    Anyone who want to learn how to process N dimensional Data
    Anyone who want to learn Numpy - Numerical Python Library.
   

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